Data Scientist Jobs in Seattle, WA
Data Scientist jobs in Seattle are in high demand, concentrated in South Lake Union, Capitol Hill, and the Eastside tech corridor across cloud computing, e-commerce, healthcare AI, and financial services. Employers hiring right now include TikTok, Amazon, and Socure. Find a role that fits below and apply directly.
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Do you get excited by driving product impact via measurement and evaluation, for products and services used by hundreds of millions of people globally? Within the evaluation organization, the mission of Data Science and Insights team is to guide product development, decisions and directions through principled evaluation and rigorous use of data. You will partner with various engineering teams to improve search quality and guide feature development with data, to deliver amazing search experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages.
Description
Research and develop evaluation methods to improve the quality of Apple user facing products, such as Siri and Apple Intelligence.
Work with evaluation/experimentation engineering teams to get your methodological developments translated into technologies that product engineering will use every day.
Work with large, complex data sets.
Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed, including prompt engineering and building llm as judges.
Conduct analysis that includes data collection and quality control, requirements specification, processing and presentations. Build and prototype analysis pipelines iteratively to provide insights at scale.
Develop comprehensive knowledge of product data structures and metrics, advocating for changes where needed for product development.
Partner closely with product engineering teams on core machine learning algorithms and user experience evaluations. You should be passionate about building outstanding products.
This position involves a wide variety of skills and innovation.
Minimum Qualifications
5 years of relevant work experience. Advanced degree in a quantitative field such as Statistics, Operational Research, Bioinformatics, Economics, Psychology, Computer Science, Sociology, Mathematics, Physics, or similar quantitative field.
Proficiency in data science, machine learning, and analytics, including statistical data analysis. Experience crafting, conducting, analyzing, and interpreting experiments and investigations, especially on data quality, evaluation and risk assessment.
Strong programming skills, including data-querying skills (SQL and/or Spark, etc.) and experience with a scripting language for data processing and development (e.g., Python, R, or Scala).
Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data. Strong communication skills and the ability to naturally explain difficult technical topics (especially causal topics) to everyone from data scientists to engineers to business partners.
Preferred Qualifications
Proven ability to collaborate effectively across functions and work well within a team.
Capable of driving projects of varying sizes and scopes - some will take months and some weeks - and you will need to know when to dive deep.
Worked with methods that address accuracy and variability in human annotation data.
Ability to learn new technology and skills to accommodate changing working requirements.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $139,500 and $258,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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Find Data Scientist JobsData Scientist Job Market in Seattle
Who's Hiring
- TikTok10

- Amazon10

- Socure7

- Whatnot5

- Lyft4

Top Industries Hiring
- Technology & Software42
- Retail16
- E-Commerce & Online Marketplaces13
- Accounting & Auditing3
- Transportation & Logistics3
Data Scientist Jobs in Seattle: Frequently Asked Questions
How do I get a data scientist job in Seattle?
Your strongest path into Seattle's data science market runs through its dominant tech and cloud sector, where companies in South Lake Union, Bellevue, and Redmond hire in volume for roles ranging from analytics engineering to applied machine learning. Candidates who demonstrate hands-on experience with large-scale data infrastructure, cloud platforms, and product analytics stand out locally. Targeting mission-driven healthcare and life sciences organizations in the First Hill and South Lake Union corridors is also a practical entry point.
Which companies hire data scientists in Seattle?
Companies currently hiring data scientists in Seattle include TikTok, Amazon, and Socure, per current listings on Migrate Mate as of June 2026. Seattle's employer mix is unusually deep, anchored by global tech headquarters alongside a strong cluster of healthcare systems, fintech firms, and retail-tech companies that maintain large data teams locally.
Are there remote data scientist jobs in Seattle?
Yes, data science is one of the more remote-friendly analytical roles since most of the work happens on a laptop rather than on-site. About 62% of data scientist openings tied to Seattle are remote or hybrid as of June 2026, reflecting how broadly Seattle's tech employers adopted flexible arrangements. Fully remote openings tend to concentrate in product analytics and machine learning engineering, while roles that involve close collaboration with hardware or clinical teams are more likely to require in-office presence.
How can I get a data scientist job in Seattle with little or no experience?
The most realistic entry path in Seattle is landing an analytics, business intelligence, or data analyst role at one of the city's mid-size tech or retail-tech companies, then building toward a data scientist title internally. University of Washington and Seattle University produce strong local pipelines, so recent graduates competing for junior roles should emphasize capstone projects and any internship work with Seattle-area employers. Healthcare systems like UW Medicine and Providence also hire entry-level data professionals in clinical analytics, offering a well-defined promotion path.
Which industries hire the most data scientists in Seattle?
The sectors hiring the most data scientists in Seattle are Technology & Software, Retail, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of June 2026. Seattle's concentration of cloud platform companies, major e-commerce operations, and a nationally significant health sciences cluster means demand across those sectors is structural rather than cyclical, sustaining consistent hiring even when national tech markets slow.
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